Short-Term Combined Forecasting Method of Park Load Based on CEEMD-MLR-LSSVR-SBO

Short-Term Combined Forecasting Method of Park Load Based on CEEMD-MLR-LSSVR-SBO

To improve the accuracy of park load forecasting, a combined forecasting method for short-term park load is proposed based on complementary ensemble empirical mode decomposition (CEEMD), sample entropy, the satin bower bird optimization algorithm (SBO), and the least squares support vector regressio...

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Bibliographic Details
Main Authors: Cui, J. (Author), Hu, B. (Author), Liu, J. (Author), Xing, Z. (Author), Xu, J. (Author), Zhang, P. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Birds
combination model
Combination models
Combined forecasting
Complementary ensemble empirical mode decomposition
complementary ensemble empirical mode decomposition (CEEMD)
Electric power plant loads
Empirical Mode Decomposition
Entropy
Forecasting
Least square support vector regression
Least squares approximations
Least squares support vector regression
least squares support vector regression (LSSVR)
Linear regression
Load forecasting
multiple linear regression
Optimization
Optimization algorithms
Parks
satin bower bird optimization algorithm (SBO)
Satin bower bird optimization algorithm (SBO)
short-term park load forecasting
Short-term park load forecasting
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